Frequency-specific alterations in low-frequency functional connectivity in children with ADHD

作者：Ahmed Ameen Fateh, Hassan Muhammed, Adam A. Q. Mohammed, Abla Smahi, Abdulqawi Alarefi, Luning Zhang, Feng Yue, Hongwu Zeng · 发表于：BMC Psychiatry · 年份：2025 · DOI：10.1186/s12888-025-07586-6 · 被引用次数：2 · 研究领域：Attention Deficit Hyperactivity Disorder、Functional Brain Connectivity Studies、Neural and Behavioral Psychology Studies

PURPOSE: This investigation seeks to elucidate frequency-specific alterations in resting-state functional connectivity (FC) among pediatric subjects with attention-deficit/hyperactivity disorder (ADHD). The study focuses on three distinct sub-bands of slow blood oxygen level-dependent (BOLD) oscillations: Slow3 (0.073–0.198 Hz), Slow4 (0.027–0.073 Hz), and Slow5 (0.010–0.027 Hz). We assess the discriminative capacity of these sub-bands as potential neural biomarkers through the application of machine learning classification techniques. This frequency-resolved methodology addresses a significant lacuna in extant ADHD FC research, which has predominantly treated low-frequency fluctuations as a homogeneous band. By parsing these oscillations into discrete frequency ranges, we aim to provide a more nuanced understanding of the neurophysiological underpinnings of ADHD. METHODS: This study explores the frequency-specific functional connectivity (FC) differences between (ADHD = 40) and healthy control (HC = 45) children, focusing on the Slow3 (0.073–0.198 Hz), Slow4 (0.027–0.073 Hz), and Slow5 (0.010–0.027 Hz) frequency bands. A two-sample t-test was used to identify significant functional connectivity (FC) differences between the two groups. followed by machine learning techniques to evaluate the classification accuracy of these features. RESULTS: Significant differences in FC were found between ADHD and HC in specific brain regions. In the Slow3 band, ADHD subjects showed increase...